000 a
999 _c31112
_d31112
008 230220b xxu||||| |||| 00| 0 eng d
020 _a9780262046794
082 _a006.3
_bBRA
100 _aBrachman, Ronald J.
245 _aMachines like us : toward AI with common sense
260 _bMIT Press,
_c2022
_aCambridge :
300 _axii, 306 p.;
_bill.
_c24 cm
365 _b29.95
_cUSD
_d85.20
504 _aIncludes bibliographical references and index.
520 _aThe authors of Machines Like Us explore what it would take to endow computers with the kind of common sense that humans depend on every day--critically needed for AI systems to be successful in the world and to become trustworthy.
650 _aArtificial Intelligence
650 _aHuman-Computer Interaction (HCI)
650 _aKnowledge representation
650 _aInformation theory
650 _aTechnology Studies
650 _a Cyc system
650 _a Deep learning
650 _aCommon sense
650 _aEyewitness memory
650 _a Face recognition
650 _aGPT system
650 _aIntelligent behavior
650 _a Knowledge base
650 _a Long-tail phenomena
650 _aMinsky,Marvin
650 _aNeural network
650 _a Open vs. closed system
650 _a Reasoning module
650 _aSelf-driving car
650 _aTaxonomy
650 _a Uncertainty of belief
650 _aXCON system
700 _aLevesque, Hector J.
942 _2ddc
_cBK